公开(公告)号：US20160070709A1

公开(公告)日：2016-03-10

申请号：US14849227

申请日：2015-09-09

Applicant: STC.UNM

Inventor： Shuang Luan ,  Abdullah Mueen ,  Michalis Faloutsos ,  Amanda J. Minnich

IPC: G06F17/30

CPC classification number: G06Q30/0282

Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.

Abstract translation: 使用同一产品或服务（例如酒店，餐馆，诊所，发廊等）的多个评论来源来提供可信度得分。 这样的分数可以清楚地识别具有审查操作，遗漏和虚假的证据的酒店，并向用户全面了解产品或机构的审查。 在计算分数时使用三种类型的信息：空间，时间和网络或基于图形。 信息被混合以产生可靠地产生可信度得分的代表性特征集合。 本发明适应新的评论和网站。 本发明还包括通过采购和假审查生成的验证机制，以确保得分的可靠性和可信度。

公开(公告)号：US10089660B2

公开(公告)日：2018-10-02

申请号：US14849227

申请日：2015-09-09

Applicant: STC.UNM

Inventor： Shuang Luan ,  Abdullah Mueen ,  Michalis Faloutsos ,  Amanda J. Minnich

IPC: G06Q30/02

Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.